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HAWQ and HDP: Modern Data Architecture for IT Transformation

HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your analytic efforts. Featuring a massively-parallel processing (MPP) SQL query engine that runs directly in the compute resources of a Hadoop cluster, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for analytics and data science. ​Pivotal ​HAWQ brings a mature implementation of SQL with the ability to run in parallel using the compute resources of a Hadoop cluster. Analysts and data scientists can use familiar tools and analytical capabilities, while directly taking advantage of the scale and flexibility of Hadoop.

Attend this session to learn about this powerful technology, including:
A brief history of MPP SQL and Pivotal HAWQ
Architecture and use cases for SQL on Hadoop
Technical deep dive of features and integration with the Hortonworks Data Platform
Quick demo of analytical features
Recorded Nov 18 2015 57 mins
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Presented by
Chris Harris, Hortonworks & Alastair Turner, Field Engineer,Pivotal
Presentation preview: HAWQ and HDP: Modern Data Architecture for IT Transformation

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Powering the future of data
Founded in 2011 by 24 engineers from the original Yahoo! Hadoop team, Hortonworks has amassed more Hadoop experience under one roof than any other organization in the world. Our team works every day to enhance the Hadoop core, creating new code to improve the open product we have stewarded since its inception. Simply put, we are your best choice to support you in your Hadoop journey.

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  • Title: HAWQ and HDP: Modern Data Architecture for IT Transformation
  • Live at: Nov 18 2015 10:00 am
  • Presented by: Chris Harris, Hortonworks & Alastair Turner, Field Engineer,Pivotal
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